What is the difference between Hyperstack and Paperspace?

Hyperstack and Paperspace are both cloud GPU providers offering different pricing models, features, and GPU availability. Use our comparison tool to see real-time pricing and feature differences.

Which is cheaper: Hyperstack or Paperspace?

Pricing varies by GPU model and usage requirements. Check our real-time comparison table to find the best deals for your specific needs.

Can I switch between Hyperstack and Paperspace?

Yes, both providers offer flexible cloud GPU services. However, consider factors like data transfer costs, setup time, and specific features when switching between providers.

How many GPU models are available for comparison?

We track pricing for 10 different GPU models across both Hyperstack and Paperspace, with 0 models available from both providers.

Hyperstack vs Paperspace

Compare GPU pricing, features, and specifications between Hyperstack and Paperspace cloud providers. Find the best deals for AI training, inference, and ML workloads.

Hyperstack

Provider 1

GPUs Available

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Paperspace

Provider 2

GPUs Available

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Comparison Overview

Total GPU Models

Hyperstack GPUs

Paperspace GPUs

Direct Comparisons

Average Price Difference: $9.64/hour between comparable GPUs

View:

Hyperstack

Paperspace

GPU Pricing Comparison

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Features Comparison

Hyperstack

Managed Kubernetes
Automated software deployment, scaling and management
Pre-Configured Flavours
Optimized templates for GPU-accelerated workloads with custom flavor options
First Class API
Purpose-built API designed specifically for GPU cloud operations
Optimised Networking
Network architecture optimized for maximum GPU efficiency
Premium Storage
Multiple storage options including NVMe, HDD block, and HDD Shared storage

Paperspace

Gradient Notebooks
Interactive Jupyter notebooks with a free tier, pre-configured templates, and access to powerful GPUs.
Gradient Deployments
Serve machine learning models as scalable API endpoints.
Core Machines
High-performance virtual machines with a wide variety of NVIDIA GPUs for demanding workloads.
Team Collaboration
Features for teams to collaborate on projects, including shared drives and SSO.
Persistent Storage
Offers persistent storage that can be shared across different machines and notebooks.
API and CLI
Programmatic access to the Paperspace platform to automate workflows.

Pros & Cons

Hyperstack

Advantages

Up to 75% more cost-effective than major cloud providers
GPU-optimized ecosystem for maximum performance efficiency
Easy-to-use platform with 1-click deployments
100% renewable energy powered infrastructure

Considerations

Limited global presence (primarily Europe and North America)
Niche market focus on GPU workloads
Less established compared to major cloud providers

Paperspace

Advantages

User-friendly interface and easy to get started
Wide range of NVIDIA GPU options
Free GPU and CPU plans for notebooks
Pay-per-second billing model

Considerations

Limited data center regions (US and Europe)
Some user reports of inconsistent customer support
Availability of high-end multi-GPU instances can be limited

Compute Services

Hyperstack

GPU Instances

Range of NVIDIA GPU options for various workloads

Paperspace

Core GPU Instances

Virtual machines with a wide range of NVIDIA GPUs for various workloads.

Gradient Notebooks

Managed Jupyter notebooks for interactive development and experimentation.

Free CPU and GPU tiers
1-click launch with pre-configured templates

Gradient Deployments

A serverless product for deploying trained models as REST APIs.

Scalable and managed infrastructure
Integration with Gradient Notebooks and Workflows

Pricing Options

Hyperstack

Paperspace

Getting Started

Hyperstack

Get Started

1
Register Account
Sign up for Hyperstack cloud services
2
Choose Configuration
Select from pre-configured flavors or create custom ones
3
Deploy Resources
Launch GPU instances with 1-click deployment

Paperspace

Get Started

1
Create an Account
Sign up for a Paperspace account. You can start with a free plan.
2
Choose a Product
Select the product that best fits your needs, such as Gradient Notebooks for interactive development or Core Machines for more control.
3
Select a Template and Machine
Choose a pre-configured template for your desired framework and select a GPU or CPU instance.
4
Start Working
Launch your machine or notebook and begin building, training, or deploying your AI applications.

Support & Global Availability

Hyperstack

Global Regions

Data centers in Europe and North America

Support

Human support team, documentation, and developer resources

Paperspace

Global Regions

Data centers are located in the US (Secaucus, NJ and Santa Clara, CA) and Europe (Amsterdam, NL).

Support

Support is available through a community forum, extensive documentation, and a support ticket system.